Researchers studied the mental health barriers which promote or prevent people from engaging with physical activity apps during the initial COVID-19 lockdown in 2020.
We cover the application of medical and public health practices supported by mobile devices (mobile phones, tablets, etc.), patient monitoring devices, and other wireless devices.
Tests show that the device can help patients safely and effectively manage their blood glucose levels and reduce the risk of low blood sugar levels.
A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.
The use of smartphone-based VR games during dressing changes icould helps to relief the pain for pediatric patients.
Chatbots hold promise for dementia patient or caregiver support, but are still in their infancy, new research finds. None of the interactive digital apps tested performed well on all testing criteria.
People who compulsively pull their hair – suffering from an affliction known as trichotillomania – could find relief with a new device.
Activity trackers are rising in popularity. Yet a new study demonstrates that many struggle to optimally use these devices. The cause? Outdated digital literacy skills.
Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Researchers have developed a way to harvest energy from radio waves to power wearable devices.
A subset of wearables are the so-called hearables – in-ear devices that are well suited for long-term monitoring as they are non-invasive, inconspicuous and easy to fasten.
Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.